Think you have mastered machine learning? Put your skills to the test with this 20-question MCQs Machine Learning Quiz covering core concepts like supervised vs. unsupervised learning, neural networks, model evaluation, and more! Whether you are a student, data scientist, researcher, or ML enthusiast, this machine learning quiz will challenge and sharpen your understanding. This machine learning quiz is perfect for exam preparation, interviews, or self-assessment. Let us start with the online machine learning quiz now.
Online Machine Learning Quiz with Answers
Online Machine Learning Quiz
- Real-world problems can be highly complex and should only be solved by complex logical rules
- The best way to solve a problem using machine learning is by using the technique with the highest probability of solving it.
- Machine learning is a combination of different capabilities all working together and cannot be defined in a singular way.
- Machine learning is a breakthrough system whereby solutions to complex problems, such as human and environmental errors, can be programmed directly into machines.
- ABC runs a successful clothing business. He’s heard a bit about machine learning and thinks it could help him make some of his day-to-day tasks more efficient. How do you think machine learning could help his business? Predicting future fashion trends so he can plan for new designs and products sooner.
- ABC runs a successful clothing business. He’s heard a bit about machine learning and thinks it could help him make some of his day-to-day tasks more efficient. How do you think machine learning could help his business? Using customers’ measurements to automatically recommend the right size.
- ABC runs a successful clothing business. He’s heard a bit about machine learning and thinks it could help him make some of his day-to-day tasks more efficient. How do you think machine learning could help his business? Sort new clothing stock according to audience preference.
- ABC runs a successful clothing business. He’s heard a bit about machine learning and thinks it could help him make some of his day-to-day tasks more efficient. How do you think machine learning could help his business? Recommending clothing budgets for customers based on their socio-economic status.
- XYZ is developing an app that reads text messages out loud from a screen in Spanish. What machine learning approach would you recommend to help Jake make his app a success?
- Which of the following best describes machine learning?
- Which of the following describes the way machine learning solves real-world problems?
- Which of the following businesses could potentially benefit the most from machine learning?
- Which of the following are components in building a machine learning algorithm?
- Suppose we build a prediction algorithm on a data set, and it is 100% accurate on that data set. Why might the algorithm not work well if we collect a new data set?
- What are the typical sizes for the training and test sets?
- What are some common error rates for predicting binary variables (i.e., variables with two possible values like yes/no, disease/normal, clicked/didn’t click)?
- Suppose that we have created a machine learning algorithm that predicts whether a link will be clicked with 99% sensitivity and 99% specificity. The rate the link is clicked is 1/1000 of visits to a website. If we predict the link will be clicked on a specific visit, what is the probability it will be clicked?
- Select the scenarios where Machine Learning is particularly beneficial compared to traditional programming.
- Which Python library is used for machine learning?
- What is the primary task of model training in machine learning?
Take a Quiz about Data Science
Machine Learning (ML) is a branch of artificial intelligence (AI) that enables systems to learn from data, identify patterns, and make decisions with minimal human intervention. From recommendation systems to self-driving cars, ML powers modern innovations. It uses algorithms like neural networks, decision trees, and regression to analyze data and improve accuracy over time.
